Abstract
IPS (Indoor positioning system) is a system that measures the user’s position in the room. Since IPS can’t use GPS (Global Positioning System), various researches are under way focusing on indoor location accuracy. IPS may also be unable to measure indoors because of signal loss, blind spots, etc. To solve this problem, Beacon’s RSSI signal is linearized using BITON algorithm and Kalman filter is applied. In addition, the position is predicted even when the signal is lost by measuring the instantaneous direction and the moving distance using the sensor of the smartphone. Therefore, in this paper, we propose a room location prediction model that can improve user’s position accuracy and detect user’s position in case of signal loss using Beacon and smartphone sensor.
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Acknowledgements
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A3B03036130).
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Lee, JG., Lee, SH., Lee, JK. (2019). Design of the Model for Indoor Location Prediction Using IMU of Smartphone Based on Beacon. In: Lee, R. (eds) Software Engineering Research, Management and Applications. SERA 2018. Studies in Computational Intelligence, vol 789. Springer, Cham. https://doi.org/10.1007/978-3-319-98881-8_11
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DOI: https://doi.org/10.1007/978-3-319-98881-8_11
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